Smart Compression: Protecting the Core of Semantic Meaning
![The system optimizes semantic communication by assigning repetition counts to quantized embeddings-guided by a policy [latex]\pi_{\theta}[/latex]-to minimize semantic distortion [latex]D_{S}[/latex] while adhering to a predetermined channel-use budget [latex]B[/latex].](https://arxiv.org/html/2601.00186v1/x1.png)
A new reinforcement learning approach intelligently prioritizes the most vital parts of data embeddings, ensuring reliable communication even with limited bandwidth.
![The system optimizes semantic communication by assigning repetition counts to quantized embeddings-guided by a policy [latex]\pi_{\theta}[/latex]-to minimize semantic distortion [latex]D_{S}[/latex] while adhering to a predetermined channel-use budget [latex]B[/latex].](https://arxiv.org/html/2601.00186v1/x1.png)
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